Posts tagged ‘AI Security’
The Network Is The First Line Of Defense – It’s Time To Treat It That Way
Artificial Intelligence (AI) Requires a New Approach to Network Security
What Enterprises Are Really Saying About AI Security
Shadow AI, prompt-level data leakage, agent-to-agent traffic — here’s what security and network executives are actually prioritizing around AI governance, and the 4 questions every platform must answer.
The Complexity Tax: What Enterprise Fragmentation Is Actually Costing You
Thirty-five percent of organizations surveyed for Versa’s inaugural Annual State of SASE + AI Report, “The Cost of Complexity suffered a security breach in the past year that was directly caused or worsened by poor coordination between networking and security teams. Not by a sophisticated nation-state actor. Not by a zero-day exploit. By the seam between two teams that report to different people, fund different tools, and measure success differently.
Beyond Security: How Agentic AI is Redefining Infrastructure Operations
Artificial Intelligence is rapidly reshaping infrastructure operations. Much of the early focus has been on transforming security operations including automating threat detection, accelerating response times, and reducing security analyst fatigue. While these advancements are essential, they address only part of the problem. Modern enterprises operate highly distributed environments where network performance, application delivery, and user experience are just as critical as security. Limiting AI transformation to security operations alone is no longer sufficient. Enterprises today require a unified operational model that spans network operations, security enforcement, user experience, and infrastructure management. The real opportunity is not just to make security…
The WAN for AI-era applications is becoming a single system
Dell’Oro Group is putting a sharper name on something enterprise teams have been feeling for a while: in the AI era, the “WAN” cannot be a collection of loosely coupled products anymore. It has to operate like one end-to-end system with one policy model, one telemetry story, and one operational workflow.
Part 7. End-to-End Flow: North–South and East–West Controls (How It All Comes Together)
This series introduced the building blocks of enterprise GenAI security. In Parts 1–6 we introduced the building blocks. This post shows how the whole system works end-to-end, using one simple picture and a few real-world walk-throughs.
Part 6. The Full AI Security Architecture: Secure the Brain, Secure the Hands, Secure the Memory
By now you’ve seen the building blocks:
Discovery
Control
Prompt inspection
Model governance
Tool governance
This post ties these pieces into one system that a real enterprise can run.
Catching a Ni8mare: Inline Defense against CVE-2026-21858
CVE-2026-21858 (aptly dubbed “Ni8mare”) is a critical vulnerability affecting n8n, a widely deployed workflow automation platform increasingly used to build agentic AI pipelines. It weaponizes a simple arbitrary file read flaw into full, unauthenticated Remote Code Execution (RCE)
Securing Enterprise GenAI: From Visibility to Control with Versa Unified SASE
Generative AI is rapidly becoming embedded in enterprise workflows. Developers use it for code generation, analysts rely on it for research, and business teams leverage it for content creation and productivity. While the efficiency gains are significant, generative AI also introduces a new class of security risks that traditional security architectures were never designed to address.
Securing the Modern Browser: How Versa Remote Browser Isolation Protects an AI-Driven Workforce
Remote Browser Isolation (RBI) is a critical defense against zero-day threats, data loss, and unmanaged device risk. Learn how Versa RBI integrates natively with Unified SASE to secure the browser across your enterprise.
AI Thought Leadership
Why SD-WAN Is Becoming Essential for AI Access in the Enterprise
By Rajesh Kari
Director, Product Marketing
February 13, 2026
AI applications are no longer tools used by a few teams for productivity or collaboration. They are rapidly becoming tools that help build core IT systems across every industry. From generative AI to NLP powered copilots to predictive analytics, enterprises are embedding AI into everyday operations, customer engagement and decision-making.
Company Updates
Introducing AI-Enhanced DLP capabilities in Versa Universal SASE Platform
Summary Versa has enhanced its AI DLP capabilities, comprehensive multi-format file inspection with granular metadata analysis, and intelligent redaction/tokenization features. These enhancements enable organizations to detect and prevent sensitive data leakage with unprecedented accuracy while minimizing false positives through contextual understanding. In this surgical walkthrough, we’ll dissect each of these enhancements to show exactly how Versa’s AI DLP elevates data protection from detection to intelligent prevention. AI DLP – Enhancements to Data Discovery based on ‘ML Analysis’ Versa’s new capabilities in AI-powered DLP takes data protection beyond contextual DLP by embedding advanced machine learning directly into the SASE fabric. Deployed…
AI Thought Leadership
AI-Optimized Data Centers: The Non-Negotiable Blueprint for What’s Next
By Dogu Narin
VP of Product Management, Versa Networks
November 13, 2025
AI is everywhere—here’s the blueprint to outgrow legacy data centers: GPU-dense compute, ultra-low-latency fabrics, NVMe/parallel storage, direct cloud interconnects—knit together by Versa for true edge-to-cloud assurance.
Industry Insights
When Words Become Weapons: How Versa SASE Helps Mitigate Prompt Injection
By Dhiraj Sehgal
Senior Director, Product Marketing
October 28, 2025
Introduction Prompt injection is increasingly recognized as a rising class of risk in AI systems. This is a critical threat vector in which attackers craft natural language inputs to subvert model instructions, bypass guardrails, or leak sensitive data. But before focusing on prompt injection threats let’s quickly review how AI tools present risks for a company’s unstructured data. In our blog discussing how Versa secures unstructured data against AI driven risk, we explain how unstructured data—spanning emails, documents, collaboration tools, and code repositories—creates surface area of risk with generative AI platforms and solutions. We also examine how Versa’s Unified SASE…
AI Thought Leadership
AI-Era Networking: Why Deep, Real-Time Visibility Is Now Non-Negotiable
By Rajesh Kari
Director, Product Marketing
October 9, 2025
Learn how AI is necessary to provide the deep observability and visibility into network and application performance for a exceptional user experience and zero outage branch.
AI Thought Leadership
Agentic AI in NetOps: The Next Big Leap for Network Operations
By Rajesh Kari
Director, Product Marketing
September 8, 2025
Learn how Agentic AI transforms NetOps from automation to autonomy. Discover how self-healing, AI-driven networks cut downtime, boost security, and reduce costs.
Product & Engineering
EU AI Act Specific Requirements Broken Down: How Versa Universal SASE Secures GenAI & Ensures Compliance
By Dhiraj Sehgal
Senior Director, Product Marketing
August 14, 2025
Ensure EU AI Act compliance with Versa Universal SASE. Gain visibility, prevent data leaks, and secure GenAI usage with audit-ready controls.
Industry Insights
Is Your Enterprise Network Ready for AI? Key Findings from EMA Research
By Kevin Sheu
VP of Product Marketing
August 7, 2025
Discover how enterprises are preparing their networks for AI. EMA’s research reveals critical insights on SD-WAN, SASE, security, and observability.
Company Updates, Product & Engineering
Secure client access policies with Versa MCP configuration tool
By Arun Chandar
Lead Solution Architect
August 4, 2025
Automate SAC policy creation, auditing, and optimization with MCP configuration tool and LLM-powered secure access policy automation. Learn how.
Customers & Partners, Industry Insights, Product & Engineering
How Versa Secures Unstructured Data Against AI-Driven Risk
By Dhiraj Sehgal
Senior Director, Product Marketing
June 17, 2025
The proliferation of AI and machine learning workloads has accelerated the generation and utilization of unstructured data—including emails, source code, collaboration files, logs, recordings, and internal documentation. Unlike structured data, which resides in databases, unstructured data spreads across cloud drives, SaaS applications, endpoints, and unmanaged collaboration tools.
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